

"""simple docstring"""




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowercase   :	Union[str, Any]												=						logging.get_logger(__name__)

_lowercase   :	Any												=						{
    'kssteven/ibert-roberta-base': 'https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json',
    'kssteven/ibert-roberta-large': 'https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json',
    'kssteven/ibert-roberta-large-mnli': (
        'https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'
    ),
}
class      _UpperCAmelCase   (							_lowerCAmelCase       ):
	a__		: Optional[Any]					=					"ibert"



	def __init__(  self     :       Dict			,    _lowercase     :       Union[str, Any]=3_05_22			,    _lowercase     :       Any=7_68			,    _lowercase     :       Dict=12			,    _lowercase     :       Optional[Any]=12			,    _lowercase     :       Optional[Any]=30_72			,    _lowercase     :       List[str]="gelu"			,    _lowercase     :       Optional[int]=0.1			,    _lowercase     :       List[str]=0.1			,    _lowercase     :       int=5_12			,    _lowercase     :       Tuple=2			,    _lowercase     :       Any=0.02			,    _lowercase     :       Tuple=1E-12			,    _lowercase     :       int=1			,    _lowercase     :       Optional[int]=0			,    _lowercase     :       Any=2			,    _lowercase     :       Tuple="absolute"			,    _lowercase     :       List[str]=False			,    _lowercase     :       List[str]="none"			,    **_lowercase     :       Optional[int]			,    ):
		super().__init__(pad_token_id=_lowercase			,    bos_token_id=_lowercase			,    eos_token_id=_lowercase			,    **_lowercase						)

		__UpperCAmelCase      		= vocab_size
		__UpperCAmelCase      		= hidden_size
		__UpperCAmelCase      		= num_hidden_layers
		__UpperCAmelCase      		= num_attention_heads
		__UpperCAmelCase      		= hidden_act
		__UpperCAmelCase      		= intermediate_size
		__UpperCAmelCase      		= hidden_dropout_prob
		__UpperCAmelCase      		= attention_probs_dropout_prob
		__UpperCAmelCase      		= max_position_embeddings
		__UpperCAmelCase      		= type_vocab_size
		__UpperCAmelCase      		= initializer_range
		__UpperCAmelCase      		= layer_norm_eps
		__UpperCAmelCase      		= position_embedding_type
		__UpperCAmelCase      		= quant_mode
		__UpperCAmelCase      		= force_dequant






class      _UpperCAmelCase   (							_lowerCAmelCase       ):



	@property
	def        a  (  self     :       Union[str, Any]						):
		if self.task == "multiple-choice":
			__UpperCAmelCase      		= {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
		else:
			__UpperCAmelCase      		= {0: '''batch''', 1: '''sequence'''}
		return OrderedDict(
		    [
		        ('''input_ids''', dynamic_axis),
		        ('''attention_mask''', dynamic_axis),
		    ]						)

from math import isqrt, loga


def 				lowerCAmelCase__       (			a__ )      ->list[int]:




  '''simple docstring'''

  _UpperCamelCase           =    [True] * max_number
  for i in range(2    ,     isqrt(max_number - 1 ) + 1 ):
    if is_prime[i]:
      for j in range(i**2    ,     a__    ,     a__ ):
        _UpperCamelCase           =    False

  return [i for i in range(2    ,     a__ ) if is_prime[i]]


def 				lowerCAmelCase__       (			a__ = 800_800    ,     a__ = 800_800 )      ->int:




  '''simple docstring'''

  _UpperCamelCase           =    degree * loga(a__ )
  _UpperCamelCase           =    int(a__ )
  _UpperCamelCase           =    calculate_prime_numbers(a__ )

  _UpperCamelCase           =    0
  _UpperCamelCase           =    0
  _UpperCamelCase           =    len(a__ ) - 1
  while left < right:
    while (
        prime_numbers[right] * loga(prime_numbers[left] )
        + prime_numbers[left] * loga(prime_numbers[right] )
        > upper_bound
    ):
      right -= 1
    hybrid_integers_count += right - left
    left += 1

  return hybrid_integers_count


if __name__ == "__main__":
   print(F"{solution() = }")




